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A Method of Public Traffic Insight Service with Station based on Passenger Footprint Tracking Record

Publishing Venue

Abstract

Disclosed is a method for a subway station oriented public traffic insight service based on a passenger footprint tracking system.

Country

Undisclosed

Language

English (United States)

This text was extracted from a PDF file.

This is the abbreviated version, containing approximately
38% of the total text.

1

A Method of Public Traffic Insight Service with Station based on Passenger Footprint
Tracking Record

This article addresses public traffic analytics. A city traffic management team needs a
better way to monitor and manage local traffic to provide better transportation services
to the public. A city public safety and security team needs a better way to filter out a
certain person’s or group’s movement patterns.

Public traffic data management is faced with several challenges. A method is needed
to enable centralized management of traffic data, including centralized access to both
traffic data stored in the data centers of different stations and traffic management
application systems. In addition, a method is needed to optimize the utilization of
massive data. Station monitoring data must be stored for as long as possible to provide
information and support to public security, criminal investigation, economic
investigation, and front-line police departments. Further, to improve traffic flow across
the city, an enhanced dispatch capability is needed that can manage various kinds of
emergencies and accurately forecast traffic patterns.

In addition to the above challenges, changing passenger behaviors, evolving city needs,
and changing technologies are reshaping the landscape for public transportation
services. Achieving high quality public traffic insight depends on going beyond the
basics of reducing costs, increasing service quality, and improving on-time performance
to require innovative approaches to improving demand and optimizing capacity, and
developing business models that are more appropriate to the changing needs of the
public.

For example, current traffic analysis methods and systems cannot provide data to list:
· All passengers that passed station-X 5 times a day
· All passengers that switch line 6 to line 10 at station-Y in certain time
· Two passengers that meet at station-Z every morning and take the same cart
· All passengers staying on a certain route and line more than 12 hours

The core idea defines a method for a subway station oriented public traffic insight
service based on a passenger footprint tracking system.

The core components and capabilities of the solution include:
· Subway station oriented public traffic insight service
· Setting certain checkpoints with a user-identifying mechanism (e.g., readers and